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Checkr is seeking a Financial Systems Integration Lead in San Francisco to drive the design and delivery of integrated Finance systems and partner tools. You will own the full lifecycle, from requirements to deployment, guiding offshore teammates and collaborating with finance, engineering, product, billing, and analytics.
The role emphasizes reliability, scalability, and continuous improvement in a fast-paced data platform environment. Travel to Checkr offices is expected as needed.
Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic.
We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.
Lead the development and enhancement of our integrated Finance systems landscape and third-party systems. Drive the implementation of integration projects, ensuring high standards of reliability, scalability, and functionality. Collaborate with project stakeholders to define integration requirements and translate business needs into technical specifications. Oversee the full lifecycle of integration solutions, from concept through to deployment and post-launch support. Provide technical thought leadership and guidance to offshore members of the team, promoting a culture of excellence and continuous improvement. Act as the lead architecting, designing, and implementing solutions across Quote to Cash, Procure to Pay, Core GL & Accounting, and Financial Analytics. Define the integration strategy and architecture for financial systems partnering with finance, engineering, product, billing, and analytics. Telecommuting is an option. Some travel to the Checkr office is required.
Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or in any occupation in related field, OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and five (5) years of progressively responsible experience in the job offered or in any occupation in related field.